Special Issue "Optimization and Simulation of Solid State Manufacturing Processes"

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: 31 December 2020.

Special Issue Editors

Prof. Dr. Frank Girot Mata
Website
Guest Editor
Department of Mechanical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Interests: optimization and simulation of manufacturing processes; sustainable manufacturing processes; application of nanotechnologies to manufacturing processes; process/microstructure/in-service behavior relationships
Prof. Dr. Olivier Cahuc
Website
Guest Editor
Université de Bordeaux, CNRS, I2M Bordeaux, 351 cours de la Libération, Talence, France
Interests: optimization and simulation of manufacturing processes; sustainable manufacturing processes; process/microstructure/in-service behavior relationships

Special Issue Information

Dear Colleagues,

The ever-increasing emphasis on sustainable growth has affected mechanical engineering tremendously. Nowadays, components and products must be efficient, durable, and lightweight. Manufacturing is often only seen as a step in creating a product as efficiently as possible without “too many negative effects” on the component. This is usually the driving factor of design for manufacture. Innovative solutions to reduce costs and weight without compromising performance require mastery of the entire manufacturing process. Each manufacturing part is the result of the cumulative effect of the various processes encountered along the entire manufacturing chain. The usual process simulation method has to evolve to innovative multiscale (from microscopic to macroscopic scales), multiphysical (strong thermomechanical and microstructural couplings), and multilevel advanced simulation. This advance will lead to the development of new tools that are better-suited to production (reduced premature wear, increased service life, improved tools, etc.) and will reduce production time and thereby production costs. The importance of modeling and simulation will be increased with the progressive introduction of Industry 4.0 concepts. They will disrupt the way we use modeling and simulation, increasing its use and value ,since product design and development will take place in simulated laboratories and utilize digital fabrication models. In the same way that physical product evolves to the Internet of the Things, its digital model will need to evolve to an Internet of the Simulations (IoS), in which heterogeneous simulations of the diverse physical and cyber subsystems of the smart product can interoperate without restrictions. For that, process simulation is a key point of this concept.

Manufacturers must optimize their production processes to meet the high demand for new products of greater value in terms of accessibility, quality, productivity, and profitability. The presence of complex phenomena related to fields such as continuum mechanics, thermomechanics, metallurgy, and chemistry complicates attempts to control these processes. These phenomena are even more complex in high strain, strain rates, and temperature gradients. The scientific barriers to overcome concern the constitutive laws of engineered materials, the tribology of the processes, the development of fast and accurate numerical simulation methods, and experimental validation through local strain and temperature field measurements.

In this Special Issue of JMMP, current research findings are going to be reported which focus on individual or subsequent simulation of manufacturing processes or steps throughout the manufacturing sequence. The range of considered processes covers solid-state processes focusing on metals. Papers will be considered that show significant improvements with clear regard to innovative aspects achieved by the below mentioned processes and process combinations.

We are interested in contributions that focus on topics such as:

  • Characterization techniques for the determination of constitutive laws of metallic alloys for manufacturing process simulation, for the determination of local strain, strain rate and thermal fields measurements, for modeling the tribology of the processes, etc.
  • Different approaches for process simulation: FEM, DEM, high performance computing (HPC), molecular dynamics, in 2D, 3D, etc.
  • Process simulation applications and validation for solid-state metal transformation: cutting, friction stir welding, forging, stamping, magnetic pulse forming and welding, etc. in terms of chip geometry, deformation and temperature fields, residual stresses, loads, etc.

Prof. Dr. Frank Girot Mata
Prof. Dr. Olivier Cahuc
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Manufacturing Processes
  • Machining, forming, friction stir welding, magnetic pulse forming and welding, etc.
  • Metals
  • Behavior law
  • 3D simulation of manufacturing processes

Published Papers (2 papers)

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Research

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Open AccessArticle
3D Thermal Simulation of a Laser Drilling Process with Meshfree Methods
J. Manuf. Mater. Process. 2020, 4(2), 58; https://doi.org/10.3390/jmmp4020058 - 22 Jun 2020
Abstract
Numerical simulation of laser drilling is rapidly gaining interest in academia and industry since this process remains one of the most important and widely-used technologies in modern manufacturing. Meshfree methods such as Smoothed Particle Hydrodynamics (SPH) have proven to be successful as a [...] Read more.
Numerical simulation of laser drilling is rapidly gaining interest in academia and industry since this process remains one of the most important and widely-used technologies in modern manufacturing. Meshfree methods such as Smoothed Particle Hydrodynamics (SPH) have proven to be successful as a numerical tool for the computation of the heat transfer and material removal associated with a laser drilling problem. Nonetheless, the vast majority of recent developments incorporate an inconsistent SPH kernel into their thermal simulations. In this paper, several enhanced schemes are implemented to address this problem by solving the heat transfer more accurately. These meshfree schemes can provide a second-order accurate discretization of the Laplace operator and abolish the inconsistency issue of the standard SPH kernels. An efficient approach is additionally suggested to handle the associated boundary conditions, which relies on the idea of the color function and particle label. The implementation is initially validated by a 3D benchmark study and then applied for the first time to a laser drilling problem. Full article
(This article belongs to the Special Issue Optimization and Simulation of Solid State Manufacturing Processes)
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Review

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Open AccessReview
A Review on Strain Gradient Plasticity Approaches in Simulation of Manufacturing Processes
J. Manuf. Mater. Process. 2020, 4(3), 87; https://doi.org/10.3390/jmmp4030087 - 03 Sep 2020
Abstract
Predicting the performances of a manufactured part is extremely important, especially for industries in which there is almost no room for uncertainties, such as aeronautical or automotive. Simulations performed by means of numerical methods such as Finite Element Methods represent a powerful instrument [...] Read more.
Predicting the performances of a manufactured part is extremely important, especially for industries in which there is almost no room for uncertainties, such as aeronautical or automotive. Simulations performed by means of numerical methods such as Finite Element Methods represent a powerful instrument in achieving high level of predictability. However, some particular combinations of manufactured materials and manufacturing processes might lead to unfavorable conditions in which the classical mathematical models used to predict the behavior of the continuum are not anymore able to deliver predictions that are in good agreement with experimental evidence. Since the first evidences of the shortcomings of the classical model were highlighted, many non-classical continuum mechanics theories have been developed, and most of them introduce dependencies at different levels with the Plastic Strain Gradient. This manuscript aims at gathering the milestone contributions among the Strain Gradient Plasticity Theories developed so far, with the object of exploring the way they interface with the requirements posed by the challenges in simulating manufacturing operations. Finally, the most relevant examples of the applications of Strain Gradient Plasticity Theories for manufacturing simulations have been reported from literature. Full article
(This article belongs to the Special Issue Optimization and Simulation of Solid State Manufacturing Processes)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Professor Philippe VIOT, Arts et Métiers Sciences and Technology, France

Professor Samuel FOREST, Mines ParisTech, France

Professor Ivan IORDANOFF, Arts et Métiers Sciences and Technology, France

Professor Paul AKERSTROM, Lulea University of Technology, Sweden

Dr. Madalina CALAMAZ, Arts et Métiers Sciences and Technology, France, for strain field measurement during chip formation

Professor Johan JANSSON, KTH, Sweden and BCAM, Spain, for High Performance Computing and its use in manufacturing processes simulation

Dr. Mamzi Afrasiabi, ETH Zürich, Switzerland, for 3D Particle-Based Simulations of a Simplified Laser Drilling Process

 

 

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